This year’s conference features a keynote address from Cade Massey, a practice professor in The Wharton School’s operations, information and decisions department at the University of Pennsylvania, and speakers from Colorado State University, ESPN, Harvard University, Massachusetts General Hospital Institute of Technological Assessment, Massachusetts Institute of Technology, National Football League, Simon Fraser University, SportsMEDIA Technology and Tennis Australia.
NESSIS, the New England Symposium on Statistics in Sports was held on October 28 at Harvard University. S&DS students Riccardo Fogliato, Natalia Lombardi de Oliveira and Ron Yurko won the Best Student Poster prize for their work on "TRAP: A Predictive Framework for Trail Running Assessment of Performance."
Another CMU featured project was "Going Deep Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data." Ron Yurko was the primary author/speaker; work by Francesca Matano, Lee Richardson, Sam Ventura, Taylor Pospisil and Ann Lee, along with University of Pittsburgh's Nick Granered and Kostas Pelechrinis, was also incorporated.
Corey Emery (StatML, HCI) and Shlok Goyal (Econ, StatML, CS minor) have been selected as two of the eight 2019-2020 Dietrich Andrew Carnegie Society Scholars! It’s a very prestigious undergrad-level award, and only around 40 students are selected each year from across the campus. You can learn more about the ACS and the ACS Scholars here.
Hannah Douglas (StatNeuro, Sr), the current president of the Japanese Student Association, explained Suikawari to the Pittsburgh Post Gazette. It involves watermelons, blindfolds, and swords (?). Watch the video.
His work includes packages for data science (the tidy verse: including ggplot2, dplyr, tidyr, purrr, and readr) and principled software development (roxygen2, testthat, devtools, pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz.
"For a long time, I've wondered exactly what it is that I do. It’s obvious that I don't develop new mathematical theory, and while I do a lot of software development, it feels like software is only part of what I produce. I spend a lot of time thinking about how data analysis should "feel" and how the various pieces should fit together in order to provide a cohesive experience. Recently, thanks to prompting from Hilary Parker, I've realised that perhaps what I do most is design: the study of the human-made world, and development of practical, empathic, and useful tools. In this talk, I'll discuss the importance of design in my work, how it has shaped my career, and some of my greatest successes and failures."
The Statistics & Data Science Department and the Data Science Club thanks everyone for...
Abby received her PhD from the Department of Statistics in 2012 and is currently at Bucknell University Department of Mathematics. She is the incoming President of the North America Classification Society.
"13 Reasons Why" tells the story of a young girl who kills herself and leaves behind a series of 13 tapes detailing the reasons why she chose to end her life. "Youth may be particularly susceptible to suicide contagion, which can be fostered by stories that sensationalize or promote simplistic explanations of suicidal behavior, glorify or romanticize the decedent, present suicide as a means of accomplishing a goal or offer potential prescriptions of how-to die by suicide," said Jeff Bridge, from Ohio State University.
The authors used interrupted time series and forecasting models to analyze monthly rates of suicide between Jan. 1, 2013 and Dec. 31, 2017 — the time period before and after the release of "13 Reasons Why." "We adjusted for potential effects of seasonality and underlying trends on suicide rates and estimated that the series' release was associated with approximately 195 additional suicide deaths in 2017 for 10- to 17-year-olds," said Joel Greenhouse, professor of statistics in CMU's Dietrich College of Humanities and Social Sciences, the second author on the study. "Interestingly, there was no significant association between the...
The lecture is a tribute to the late couple for their distinctive contributions to the statistical community.
Stephen E. Fienberg was the Maurice Falk University Professor of Statistics and Social Science Emeritus. The author or editor of over 20 books and 500 papers and related publications, his co-authored 1975 book, Discrete Multivariate Analysis: Theory and Practice, and his 1980 book, The Analysis of Cross-Classified Categorical Data, are classics in the field.
Joyce Fienberg was a lovely and caring woman whose legendary kindnesses, including to graduate students from distant lands, made a profound and lasting impact in the lives of everyone with whom she crossed paths. On Oct. 27, 2018, while at Tree of Life Synagogue, she became one of 11 victims of a gunman during a rampage that was the single worst attack on American Jews in U.S. history.
Sir David John Spiegelhalter is a British statistician and Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge and a Fellow of Churchill College, Cambridge.
The lecture can be viewed here...
Women in Data Science (WiDS) is an international conference primarily located at Stanford
University with 100+ satellite conferences across every continent except Antarctica. In 2018, over
100,000 people attended the conference in person and via the livestream and Facebook Live.
WiDS Pittsburgh @CMU was held for the first time last year and had nearly 150 local participants
including students, faculty, companies, non-profits, and campus organizations. The purpose of
WiDS is “to inspire and educate data scientists worldwide, regardless of gender, and support
women in the field”; the conference features exclusively female speakers from academia and
WiDS Pittsburgh @CMU for 2019 was expanded to a three-day event. April 4th featured a
Data Science in Finance Panel held at the CMU New York Location (live-streamed in Pittsburgh),
a networking welcome reception at The Yard in Shadyside (co-hosted by the Pittsburgh
useR Meetup and the Pittsburgh Women in Machine Learning and Data Science Meetup) was
held on April 5th, and April 6th was a full-day technical conference hosted in the...